Algorithms play a significant role in shaping interactions and decisions in today's world, yet they are often assumed to be impartial and neutral, which is not the case.
The individuals building and utilizing these algorithms need to ask critical questions about fairness, inclusion, and the impacts of coded biases in these systems.
Issues of bias and inequality are evident in algorithmic risk assessment tools, as they reflect and sometimes reinforce existing societal prejudices and power dynamics.
Ethics in technology must not be an afterthought but should be integrated at the very beginning, addressing the human factors, power structures, and values that influence the development and implementation of algorithms.